{"title":"The Mahalanobis distance as a metric in dynamic light scattering particle size analysis: model studies","authors":"S. Dubin, S. Zietz, K. L. Gabriel, D. Gabriel","doi":"10.1109/NEBC.2001.924723","DOIUrl":null,"url":null,"abstract":"Dynamic Light Scattering (DLS) has been applied to examination of several clinically and biologically important materials including the lens of the eye. The clinical potential of DLS has been demonstrated empirically both in vivo and in vitro. The data supplied by DLS investigation is inherently multivariate and its most efficient interpretation requires a multivariate approach which includes the variability among specimens as well as any correlation among the variables (e.g., across the particle size distribution). The authors discuss the Mahalanobis distance as a metric for statistical analysis of DLS data using model-generated data.","PeriodicalId":269364,"journal":{"name":"Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBC.2001.924723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Dynamic Light Scattering (DLS) has been applied to examination of several clinically and biologically important materials including the lens of the eye. The clinical potential of DLS has been demonstrated empirically both in vivo and in vitro. The data supplied by DLS investigation is inherently multivariate and its most efficient interpretation requires a multivariate approach which includes the variability among specimens as well as any correlation among the variables (e.g., across the particle size distribution). The authors discuss the Mahalanobis distance as a metric for statistical analysis of DLS data using model-generated data.